Evidence map›Paper›PMID 36103575›Full record

ArticleJMIR pediatrics and parenting2022

Assessing the Racial and Socioeconomic Disparities in Postpartum Depression Using Population-Level Hospital Discharge Data: Longitudinal Retrospective Study.

Star Liu, Xiyu Ding, Anas Belouali, Haibin Bai, Kanimozhi Raja, Hadi Kharrazi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression.Prevention science : the official journal of the Society for Prevention Research · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Star LiuJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7587-7451
Xiyu DingJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-6852-2962
Anas BeloualiJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-2780-2500
Haibin BaiJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-5387-3305
Kanimozhi RajaJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-2777-3332
Hadi KharraziJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-1481-4323
Johns Hopkins University · US

Funding

Johns Hopkins Training Program in Biomedical Informatics and Data ScienceT15LM013979 · NLM · JOHNS HOPKINS UNIVERSITY · PI CHRISTOPHER G CHUTE, Hadi Kharrazi · 2022 to 2026
$2.2M
NLM NIH HHS T15 LM013979
6 · The paper itself

Abstract

backgroundIn the United States, >3.6 million deliveries occur annually. Among them, up to 20% (approximately 700,000) of women experience postpartum depression (PPD) according to the Centers for Disease Control and Prevention. Absence of accurate reporting and diagnosis has made phenotyping of patients with PPD difficult. Existing literature has shown that factors such as race, socioeconomic status, and history of substance abuse are associated with the differential risks of PPD. However, limited research has considered differential temporal associations with the outcome.

objectiveThis study aimed to estimate the disparities in the risk of PPD and time to diagnosis for patients of different racial and socioeconomic backgrounds.

methodsThis is a longitudinal retrospective study using the statewide hospital discharge data from Maryland. We identified 160,066 individuals who had a hospital delivery from 2017 to 2019. We applied logistic regression and Cox regression to study the risk of PPD across racial and socioeconomic strata. Multinomial regression was used to estimate the risk of PPD at different postpartum stages.

resultsThe cumulative incidence of PPD diagnosis was highest for White patients (8779/65,028, 13.5%) and lowest for Asian and Pacific Islander patients (248/10,760, 2.3%). Compared with White patients, PPD diagnosis was less likely to occur for Black patients (odds ratio [OR] 0.31, 95% CI 0.30-0.33), Asian or Pacific Islander patients (OR 0.17, 95% CI 0.15-0.19), and Hispanic patients (OR 0.21, 95% CI 0.19-0.22). Similar findings were observed from the Cox regression analysis. Multinomial regression showed that compared with White patients, Black patients (relative risk 2.12, 95% CI 1.73-2.60) and Asian and Pacific Islander patients (relative risk 2.48, 95% CI 1.46-4.21) were more likely to be diagnosed with PPD after 8 weeks of delivery.

conclusionsCompared with White patients, PPD diagnosis is less likely to occur in individuals of other races. We found disparate timing in PPD diagnosis across different racial groups and socioeconomic backgrounds. Our findings serve to enhance intervention strategies and policies for phenotyping patients at the highest risk of PPD and to highlight needs in data quality to support future work on racial disparities in PPD.

Indexed as

data qualityhealth disparityhospital discharge summarymaternal healthphenotypingpostpartum depressionvulnerable population

Identifiers

PMID36103575
PMCPMC9623466
OpenAlexW4295693005

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.